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An integrated system of detecting end-effector motion states and wafer stick-slip on a wafer transfer robot

机译:检测末端效应器运动状态和晶片转移机器人的末端效应器运动状态的集成系统

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The online detection of end-effector motion states and wafer stick-slip on a wafer transfer robot is crucial in accessing the quality of trajectory planning and improving the performance of robotic control system. This paper presents a new integrated system for detecting end-effector motion states (position and velocity) and wafer stick-slip on a wafer transfer robot. The system mainly contains a custom-built position-sensing-detector (PSD) camera, an inertial module and a tactile sensor. The end-effector position measurement is achieved by the PSD camera, and the end-effector velocity is estimated by using a kinematic Kalman filter (KKF). The KKF fuses the outputs from the PSD camera and the inertial sensor with a tri-axis accelerator and a tri-axis gyroscope. The wafer stick-slip detection is built on the measurements of the electromagnetic-based tactile sensor. The experimental results show that the integrated system is capable of measuring the position with a repeatability of ± 0.023mm along the X-axis and ± 0.017mm along the F-axis, remarkably improving the accuracy of velocity measurement, and online detecting wafer stick-slip on the wafer transfer robot.
机译:在晶片传送机器人上在线效应动作状态和晶片粘滑的在线检测对于访问轨迹规划质量以及提高机器人控制系统的性能至关重要。本文介绍了一种用于检测末端效应器动作状态(位置和速度)和晶片转移机器人的晶片粘滑的新集成系统。该系统主要包含定制的位置传感检测器(PSD)相机,惯性模块和触觉传感器。通过PSD摄像机实现末端效应器位置测量,并且通过使用运动卡尔曼滤波器(KKF)来估计末端效应速度。 KKF使用三轴加速器和三轴陀螺仪熔化PSD摄像机和惯性传感器的输出。晶圆粘滑检测内置在电磁基触觉传感器的测量上。实验结果表明,该集成系统能够测量的位置沿X轴±0.023毫米的重复性和沿F-轴±0.017毫米,显着地提高速度测量的精度,并在线检测晶片杆式的滑的晶片传送机械手。

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